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湿法炼锌浸出液中存在多金属组分,如Zn(Ⅱ)和Co(Ⅱ),针对重叠峰分离提出一种基于类Gaussian分布的线性扫描极谱重叠峰分离方法。通过分析线性扫描极谱曲线的特性构造类Gaussian分布作为待分离重叠峰子峰的模型,并利用多分辨率小波分解确定各子峰波峰和波谷位置,基于该模型及确定值对重叠峰及其导数峰进行非线性加权最小二乘(nonlinear weighted least squares,NWLS)拟合,根据重构参数将重叠峰分离为独立的子峰,实现该类重叠峰的分离。该类重叠峰分离的结果表明:多分辨率小波分解的分辨误差小于1%,NWLS拟合的分离精度高于96%,本方法可以有效分离Zn(Ⅱ)和Co(Ⅱ)产生的极谱重叠峰。
In this paper, we present a method based on Gaussian distribution for linear sweep polarographic overlapped peaks separation for the presence of multimetallic components such as Zn (Ⅱ) and Co (Ⅱ) in wet leaching leaching solution. By analyzing the characteristics of the linear sweep polarographic curve, a Gaussian distribution is constructed as a model of overlapping peaks, and the positions of the peaks and troughs of each sub-peak are determined by using multi-resolution wavelet decomposition. Based on the model and the determined values, the overlapping peaks and their derivatives The peaks were subjected to nonlinear weighted least squares (NWLS) fitting, and the overlapping peaks were separated into independent sub-peaks according to the reconstruction parameters to achieve the separation of such overlapping peaks. The results of this kind of overlapped peak separation show that the resolving error of multiresolution wavelet decomposition is less than 1% and the separation precision of NWLS fitting is higher than 96%. This method can effectively separate the polarographic spectrum produced by Zn (Ⅱ) and Co (Ⅱ) Overlapping peaks.